ANOVA Kernel Kalman Filter for Multi-Objective Grid Integrated Solar Photovoltaic-Distribution Static Compensator

In this paper, a novel ANOVA Kernel Kalman Filter (AKKF)-based adaptive control algorithm is introduced which is used for accurate harmonics support during operation of grid-integrated solar energy conversion system (SECS). For grid integrated SECS, a single-phase two-stage topology is considered, where local loads are attached on common point of interconnection (CPI), and a battery is attached on DC link. The AKKF is the improved form of Kalman Filter (KF), where the ANOVA Kernel (AK) trick is hybridized to improve the estimation accuracy of the KF. The objective of proposed control technique is to use this solar power to fulfil the load requirement. After satisfying the load requirement, the rest of solar power is fed to the grid. However, when the solar power is not available (in nighttime), then the system operates as Distribution Static Compensator (DSTATCOM), which provides reactive power support to the grid. The performance of the developed control technique is validated through experimentation on a developed prototype. During testing, adverse grid conditions, solar insolation variation, and load unbalance conditions are considered for satisfying the motive of the developed control technique.